TST: enable pyarrow/fastparquet cross compatibility tests on smaller subset of dataframe

Author: jorisvandenbossche

pandas/tests/io/test_parquet.py

@@ -80,13 +80,14 @@ def df_compat():
 def df_cross_compat():
     df = pd.DataFrame({'a': list('abc'),
                        'b': list(range(1, 4)),
-                       'c': np.arange(3, 6).astype('u1'),
+                       # 'c': np.arange(3, 6).astype('u1'),
                        'd': np.arange(4.0, 7.0, dtype='float64'),
                        'e': [True, False, True],
                        'f': pd.date_range('20130101', periods=3),
-                       'g': pd.date_range('20130101', periods=3,
-                                          tz='US/Eastern'),
-                       'h': pd.date_range('20130101', periods=3, freq='ns')})
+                       # 'g': pd.date_range('20130101', periods=3,
+                       #                    tz='US/Eastern'),
+                       # 'h': pd.date_range('20130101', periods=3, freq='ns')
+                       })
     return df
 
 
@@ -173,7 +174,6 @@ def test_options_get_engine(fp, pa):
         assert isinstance(get_engine('fastparquet'), FastParquetImpl)
 
 
-@pytest.mark.xfail(reason="fp does not ignore pa index __index_level_0__")
 def test_cross_engine_pa_fp(df_cross_compat, pa, fp):
     # cross-compat with differing reading/writing engines
 
@@ -185,7 +185,6 @@ def test_cross_engine_pa_fp(df_cross_compat, pa, fp):
         tm.assert_frame_equal(result, df)
 
 
-@pytest.mark.xfail(reason="pyarrow reading fp in some cases")
 def test_cross_engine_fp_pa(df_cross_compat, pa, fp):
     # cross-compat with differing reading/writing engines